Financial Incentives for the Development of Industrial Energy Community Systems

Modeling of renewable energy generation in undustrial clusters

Master Thesis (2020)
Author(s)

R. Castelo Branco Ferreira Costa (TU Delft - Technology, Policy and Management)

Contributor(s)

A Ghorbani – Mentor (TU Delft - Energy and Industry)

RW Künneke – Graduation committee member (TU Delft - Economics of Technology and Innovation)

S. Eslamizadeh – Coach (TU Delft - Energy and Industry)

Faculty
Technology, Policy and Management
Copyright
© 2020 Rafael Castelo Branco Ferreira Costa
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Rafael Castelo Branco Ferreira Costa
Graduation Date
16-06-2020
Awarding Institution
Delft University of Technology
Programme
['Complex Systems Engineering and Management (CoSEM)']
Related content

GitHub page with all code developed during the thesis

https://github.com/rafaelcbfc/InCES_model
Faculty
Technology, Policy and Management
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Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The development of energy communities across the globe is a landmark for the development of decentralized generation, supporting the transition to renewable energy sources. However, energy communities focus on households with little attention to industries or towards the development of Industrial Community Energy Systems. A central issue is the lack of understanding of how different types of financial incentives influence the development of renewable energy in such communities, as researches and policies focus only on energy production. To solve this problem, this thesis evaluated the impact of financial incentives in Industrial Energy Community Systems through economic and community metrics to compare how each policy performed under different environments. In doing so, this thesis developed a social-technical model which was analyzed through an Agent-Based Modeling Simulation to understand how the elements of such a complex system interact with the diffusion of renewable energy through an economic perspective. This research contributes to supporting the development of policy analysis on promoting renewable energy by comparing the effects of applying different types of incentives on a simulated environment.

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